---
library_name: transformers
license: apache-2.0
base_model: google-t5/t5-small
tags:
- summarization
- generated_from_trainer
metrics:
- rouge
model-index:
- name: t5-small-finetuned-cnn-mail-en
  results: []
---

<!-- This model card has been generated automatically according to the information the Trainer had access to. You
should probably proofread and complete it, then remove this comment. -->

# t5-small-finetuned-cnn-mail-en

This model is a fine-tuned version of [google-t5/t5-small](https://huggingface.co/google-t5/t5-small) on an unknown dataset.
It achieves the following results on the evaluation set:
- Loss: 1.7429
- Rouge1: 31.6345
- Rouge2: 16.2269
- Rougel: 26.5554
- Rougelsum: 29.6201

## Model description

More information needed

## Intended uses & limitations

More information needed

## Training and evaluation data

More information needed

## Training procedure

### Training hyperparameters

The following hyperparameters were used during training:
- learning_rate: 5.6e-05
- train_batch_size: 8
- eval_batch_size: 8
- seed: 42
- optimizer: Use OptimizerNames.ADAMW_TORCH with betas=(0.9,0.999) and epsilon=1e-08 and optimizer_args=No additional optimizer arguments
- lr_scheduler_type: linear
- num_epochs: 4

### Training results

| Training Loss | Epoch | Step | Validation Loss | Rouge1  | Rouge2  | Rougel  | Rougelsum |
|:-------------:|:-----:|:----:|:---------------:|:-------:|:-------:|:-------:|:---------:|
| 2.0493        | 1.0   | 1250 | 1.7573          | 31.5732 | 16.093  | 26.6379 | 29.6103   |
| 1.9814        | 2.0   | 2500 | 1.7460          | 31.4484 | 15.9575 | 26.4791 | 29.4925   |
| 1.9421        | 3.0   | 3750 | 1.7428          | 31.6342 | 16.1988 | 26.5469 | 29.625    |
| 1.9233        | 4.0   | 5000 | 1.7429          | 31.6345 | 16.2269 | 26.5554 | 29.6201   |


### Framework versions

- Transformers 4.53.1
- Pytorch 2.7.1+cu126
- Datasets 4.0.0
- Tokenizers 0.21.2